Publicacións nas que colabora con Andres Sela Barrial (13)

2023

  1. Adiabatic self-heating determination for Ti6Al4V at different temperatures

    International Journal of Heat and Mass Transfer, Vol. 204

2021

  1. Advanced measurement techniques to improve predictive modelling of cutting processes by using inverse simulation

    Advanced measurement techniques to improve predictive modelling of cutting processes by using inverse simulation

  2. In-SEM micro-machining reveals the origins of the size effect in the cutting energy

    Scientific Reports, Vol. 11, Núm. 1

  3. Inverse identification of the ductile failure law for ti6al4v based on orthogonal cutting experimental outcomes

    Metals, Vol. 11, Núm. 8

  4. Measurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4V

    International Journal of Mechanical Sciences, Vol. 198

2020

  1. Sensitivity analysis of the input parameters of a physical based ductile failure model of Ti-6Al-4V for the prediction of surface integrity

    Procedia CIRP

  2. Surface drag analysis after Ti-6Al-4V orthogonal cutting using grid distortion

    Procedia CIRP

2019

  1. A mechanistic model to predict cutting force on orthogonal machining of Aluminum 7475-T7351 considering the edge radius

    Procedia CIRP

  2. Evaluation of different flow stress laws coupled with a physical based ductile failure criterion for the modelling of the chip formation process of Ti-6Al-4V under broaching conditions

    Procedia CIRP

  3. Influence of chip segmentation of Ti64 on the topography of the machined surface

    AIP Conference Proceedings

  4. Methodology to establish a hybrid model for prediction of cutting forces and chip thickness in orthogonal cutting condition close to broaching

    International Journal of Advanced Manufacturing Technology, Vol. 101, Núm. 5-8, pp. 1357-1374

  5. Towards inverse simulation: Effect of material parameters on machining predictions

    AIP Conference Proceedings

2018

  1. An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152

    Procedia CIRP